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Max Muller
Karlsruhe Institute of Technology
Electrical & Electronics Engineering

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Prediction of land-change using machine learning for the deforestation in Paraguay Max Muller; Shweta Vincent; Om Prakash Kumar
Bulletin of Electrical Engineering and Informatics Vol 9, No 5: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (716.646 KB) | DOI: 10.11591/eei.v9i5.2532

Abstract

Northwestern Paraguay is being deforested at a very rapid rate. This article studies the rate of deforestation that has happened in this area using satellite images of LandSAT5 and LandSAT7. The rate of the deforestation is detected from 1986 to 2011, graphically using which future prediction is made. The images of LandSAT8 are used to validate the prediction made until 2018. An extrapolation of the graph shows that the process of deforestation is already 3 years ahead of its forecast. An overall accuracy of 98% has been achieved using this technique. The root mean square error (RMSE) is around 0.011.
Co-Authors Om Prakash Kumar Shweta Vincent